Least Squares Inference on Integrated Volatility and the Relationship Between Efficient Prices and Noise
Nolte, Ingmar and Voev, Valeri. (2012) Least Squares Inference on Integrated Volatility and the Relationship Between Efficient Prices and Noise. Journal of Business & Economic Statistics , Vol.30 (No.1). pp. 94-108. ISSN 0735-0015Full text not available from this repository.
Official URL: http://dx.doi.org/10.1080/10473289.2011.637876
The expected value of sums of squared intraday returns (realized variance) gives rise to a least squares regression which adapts itself to the assumptions of the noise process and allows for joint inference on integrated variance (), noise moments, and price-noise relations. In the iid noise case, we derive the asymptotic variance of the and noise variance estimators and show that they are consistent. The joint estimation approach is particularly attractive as it reveals important characteristics of the noise process which can be related to liquidity and market efficiency. The analysis of dependence between the price and noise processes provides an often missing link to market microstructure theory. We find substantial differences in the noise characteristics of trade and quote data arising from the effect of distinct market microstructure frictions. This article has supplementary material online.
|Item Type:||Journal Article|
|Subjects:||H Social Sciences > HG Finance|
|Divisions:||Faculty of Social Sciences > Warwick Business School > Financial Econometrics Research Centre
Faculty of Social Sciences > Warwick Business School > Finance Group
Faculty of Social Sciences > Warwick Business School
|Journal or Publication Title:||Journal of Business & Economic Statistics|
|Number of Pages:||15|
|Page Range:||pp. 94-108|
|Access rights to Published version:||Restricted or Subscription Access|
Actions (login required)